Genuine Parts (GPC) Revenue (2009 - 2026)
Genuine Parts (GPC) posted Revenue of $6.52 billion for Q3 2026, up 4.2% from $6.26 billion a year earlier but down 0.2% from the prior quarter.
Genuine Parts (GPC) Revenue (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Revenue at Genuine Parts was $25.33 billion, up 5.3% year-over-year; for FY2025, it was $24.3 billion, up 3.5% from FY2024.
- Annual Revenue has increased for five consecutive years, with a five-year compound annual growth rate of 8.0% (FY2020 to FY2025).
- In prior years, Genuine Parts' Revenue was $23.49 billion in FY2024 (+1.7%), $23.09 billion in FY2023 (+4.5%), $22.1 billion in FY2022 (+17.1%) and $18.87 billion in FY2021 (+14.1%).
- Quarterly Revenue has run from a low of $4.8 billion in Q4 2021 to a high of $6.54 billion in Q2 2026 over five years.
- On a year-over-year basis, Revenue has increased in each of the last 23 quarters, with growth averaging 4.3% over the last eight quarters.
- Over the past five years, the year-over-year growth in Revenue ranged from 0.3% (Q1 2024) to 18.6% (Q1 2022).
- According to Business Quant data, Revenue for the three prior quarters was $6.54 billion (Q2 2026), $6.26 billion (Q1 2026) and $6.01 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,931.82 Bn | 2,428.49 Bn | 107.37 Bn | 201.94 Bn |
| 2 | Home Depot | 348.68 Bn | 341.92 Bn | 16.12 Bn | 47.86 Bn |
| 3 | Tjx Companies | 150.97 Bn | 128.51 Bn | 5.07 Bn | 15.18 Bn |
| 4 | Lowes Companies | 128.03 Bn | 120.99 Bn | 8.58 Bn | 25.96 Bn |
| 5 | Ross Stores | 74.86 Bn | 57.79 Bn | 2.12 Bn | 6.26 Bn |
| 6 | O Reilly Automotive | 73.48 Bn | 72.56 Bn | 2.52 Bn | 4.89 Bn |
| 7 | Target | 72.25 Bn | 66.84 Bn | 8.94 Bn | 26.54 Bn |
| 8 | Carvana | 53.50 Bn | 43.09 Bn | 1.52 Bn | 8.04 Bn |
| 9 | Autozone | 53.15 Bn | 52.00 Bn | 3.52 Bn | 6.59 Bn |
| 10 | Genuine Parts | 17.21 Bn | 14.91 Bn | 2.48 Bn | 6.52 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 6.52 Bn |
| Jun 30, 2026 | 6.54 Bn |
| Mar 31, 2026 | 6.26 Bn |
| Dec 31, 2025 | 6.01 Bn |
| Sep 30, 2025 | 6.26 Bn |
| Jun 30, 2025 | 6.16 Bn |
| Mar 31, 2025 | 5.87 Bn |
| Dec 31, 2024 | 5.77 Bn |
| Sep 30, 2024 | 5.97 Bn |
| Jun 30, 2024 | 5.96 Bn |
| Mar 31, 2024 | 5.78 Bn |
| Dec 31, 2023 | 5.59 Bn |
| Sep 30, 2023 | 5.82 Bn |
| Jun 30, 2023 | 5.92 Bn |
| Mar 31, 2023 | 5.77 Bn |
| Dec 31, 2022 | 5.52 Bn |
| Sep 30, 2022 | 5.68 Bn |
| Jun 30, 2022 | 5.60 Bn |
| Mar 31, 2022 | 5.29 Bn |
| Dec 31, 2021 | 4.80 Bn |
Genuine Parts Revenue API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=revenue&ticker=GPC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "ticker": "GPC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=revenue&ticker=GPC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();